Study of Uniform Experiment Design Method Applying to Civil Engineering

Song, Jie; Song, Zhen; Rong, Sun

doi:10.1016/j.proeng.2012.01.1095

Cited by 19 publications

(8 citation statements)

References 8 publications

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“…Uniform design is the statistical technique mostly used to study the relationship between different experimental factors to one or many related responses. In most of these cases, to run a complete factorial design to get sufficient resources may not always exist, so, therefore, small factorial designs are frequently used to significantly reduce the experiment numbers [ 11 , 12 ]. The uniform design table, the supporting tables, and the seven-level design are shown in Table 1 , Table 2 , Table 3 and Table 4 .…”

Section: Methodsmentioning

confidence: 99%

“…Uniform design is a statistical tool used for examining the relationship between various experimental variables to one or more responses [11]. Uniform design is particularly well suited to multi-factors, and multi-level assessments, such as assessing nanomaterial preparation molar ratios [12,13]. Response surface methodology (RSM) can give a spontaneous graph to impulsively observe the optimization points, and spontaneously determine the optimization areas [14].…”

Section: Introductionmentioning

confidence: 99%

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Synthesis of Fe3O4@mZrO2-Re (Re = Y/La/Ce) by Using Uniform Design, Surface Response Methodology, and Orthogonal Design & Its Application for As3+ and As5+ Removal

et al. 2021

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In this study, iron oxide (Fe3O4) was coated with ZrO2, and doped with three rare earth elements((Y/La/Ce), and a multi-staged rare earth doped zirconia adsorbent was prepared by using uniform design U14, Response Surface methodology, and orthogonal design, to remove As3+ and As5+ from the aqueous solution. Based on the results of TEM, EDS, XRD, FTIR, and N2-adsorption desorption test, the best molar ratio of Fe3O4:TMAOH:Zirconium butoxide:Y:La:Ce was selected as 1:12:11:1:0.02:0.08. The specific surface area and porosity was 263 m2/g, and 0.156 cm3/g, respectively. The isothermal curves and fitting equation parameters show that Langmuir model, and Redlich Peterson model fitted well. As per calculations of the Langmuir model, the highest adsorption capacities for As3+ and As5+ ions were recorded as 68.33 mg/g, 84.23 mg/g, respectively. The fitting curves and equations of the kinetic models favors the quasi second order kinetic model. Material regeneration was very effective, and even in the last cycle the regeneration capacities of both As3+ and As5+ were 75.15%, and 77.59%, respectively. Adsorption and regeneration results suggest that adsorbent has easy synthesis method, and reusable, so it can be used as a potential adsorbent for the removal of arsenic from aqueous solution.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Synthesis of Fe3O4@mZrO2-Re (Re = Y/La/Ce) by Using Uniform Design, Surface Response Methodology, and Orthogonal Design & Its Application for As3+ and As5+ Removal

et al. 2021

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“…For example, U 6 (3 2 × 2 1 ) with multiple levels is given in Table 1. It can arrange two three-level factors and another twolevel factor in six experiments (Liang et al, 2001;Song et al, 2012). It is believed that for experiments with too many parameters or expensive costs, UD may be preferred.…”

Section: Uniform Designmentioning

confidence: 99%

A novel distribution rate predicting method of dense medium cyclone in the Taixi coal preparation plant

Dou

Yang

Liu

et al. 2015

International Journal of Mineral Processing

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“…It uses experiment points, which are uniformly scattered in the experiment parameters, for acquiring more information by less experiments [11,12]. Like orthogonal designs, uniform designs offer lots of experimental tables for users to conveniently utilize.…”

Section: Uniform Experiments Designmentioning

confidence: 99%

Soft-Sensor Modeling for Separation Performance of Dense-Medium Cyclone by Field Data

Dou

Yang

Liu

et al. 2015

International Journal of Coal Preparation and Utilization

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Four measurable parameters, that is, density of dense-medium suspension (d), inlet pressure of dense-medium suspension (p), content of magnetic substance (c), and coal feed rate (r) were adopted to build a soft-sensor model for calculating the two performance index of a dense-medium cyclone in a Taixi plant. Uniform design was adopted to reduce the number of experiments. The models of actual separation density (d p ) and probable error (E p ) obtained by genetic algorithm and regression were proved to be basically right by the 12 training records and another test result. The accuracy of the d p model was 0.7% for the training set and 0.63% for the test data while that of the E p model was 9.41% and 13.54%, respectively. The behavior of the models were in accordance with field experiences, which showed that p had the most significant effect on E p and c affected d p most prominently in daily operation.

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Study of Uniform Experiment Design Method Applying to Civil Engineering

Cited by 19 publications

References 8 publications

Synthesis of Fe3O4@mZrO2-Re (Re = Y/La/Ce) by Using Uniform Design, Surface Response Methodology, and Orthogonal Design & Its Application for As3+ and As5+ Removal

Synthesis of Fe3O4@mZrO2-Re (Re = Y/La/Ce) by Using Uniform Design, Surface Response Methodology, and Orthogonal Design & Its Application for As3+ and As5+ Removal

A novel distribution rate predicting method of dense medium cyclone in the Taixi coal preparation plant

Soft-Sensor Modeling for Separation Performance of Dense-Medium Cyclone by Field Data

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